Thinking critically is important if your business is starting to dip its toe into the big data pool and tap into the available technologies to promote your company’s growth and allow it to use IT personnel more effectively. However, as many executives try to make sense of big data and gather all the need-to-know information about it, they often overlook a key factor: Big data storage.
Think about all the emails you read and the files downloaded on a typical day. From that perspective, it shouldn’t be hard to understand why one of the primary ways to be smart with big data is to make sure you’re aware of your company’s storage needs and respond accordingly.
Data Amounts Are Growing Rapidly
Predictions indicate that the amount of data that exists will increase a thousandfold by 2020, resulting in a tremendous 44 zettabytes of content. With that figure in mind, it’s necessary to ensure your big data infrastructure can handle the huge amounts of data present in our society.
Being intelligent about the way your company tackles big data technologies also involves assessing current and future needs. Scalability is essential, especially if your establishment is aiming to penetrate a new market, start serving more demographic groups or expand your operating hours. All those things could cause you to collect more data than before, meaning the systems you depend on must be able to tolerate the increased load.
Collected Data Entices Cybercriminals
When evaluating big data storage methods, it’s essential to think about security precautions such as strong encryption. Once hackers realize your company has employed solutions to store big data, they might view the business as a viable target. The likelihood of that happening goes up if you’re holding on to content with significant inherent value, such as credit card transaction records or health-related records that include social security numbers.
The size associated with your big data storage capabilities is certainly worth noting. However, you also need to enforce strict security standards to reduce the probability of a data breach.
Fortunately, big data-related advancements have made it possible to cut down on attacks from cybercriminals. The techniques used to spot network infiltration vary but usually involve algorithms that pick up on deviations from normal activity within the network. As a result, it’s often possible to either stop breaches before they’re carried out or patch vulnerabilities so hackers cannot cause such severe damage.
Depend on Big Data for Defined Purposes
Many well-intentioned businesspeople start working with big data and trying to analyze it without knowing why. In other words, they jump on the big data bandwagon without knowing where it might — or could — take them.
Avoid that mistake by figuring out what kind of progress you hope to achieve with the help of big data. For example, you might evaluate metrics that tell you whether the outcome of a business decision was as profitable as expected. Big data can also reveal where your company falls short compared to competitors, allowing you to make changes and gain momentum in the marketplace.
There are also numerous ways to evaluate big data and find out more about your customers. You could find out when demand levels are at their highest, know which terms people type into your website most often and track which marketing methods deliver the highest returns for the money spent. As a result of these collective insights, it’s easy to boost revenue by taking advantage of opportunities and doing things to help your business achieve maximum productivity.
By keeping the things you’ve just read in mind, it’s possible to be smart with big data, both in terms of how you store it and use it. When that happens, your business can prosper due to the increased knowledge you possess.